Revista Colombiana de Estadística, 2009 Two methods of dimensionality reduction of multivariate stationary time series are analyzed: Peña-Box’s methodology in the time domain and Brillinger’s methodology in the frequency domain.
Zhang Hanwen
doaj
Evaluating the indicators of a heart rate variability analysis in dogs using Poincaré plots
Veterinární MedicínaHeart rate variability analyses using Poincaré plots can be useful for evaluating the autonomic nervous system function. However, the interpretation of the quantitative indicators of Poincaré plots remains controversial.
T Kimura +8 more
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Comparación entre dos métodos de reducción de dimensionalidad en series de tiempo
Revista Colombiana de Estadística, 2009 En este trabajo se analizan dos métodos de reducción de dimensionalidad en series de tiempo multivariadas estacionarias: el método de Peña y Box, basado en el dominio del tiempo, y el método de Brillinger, basado en el dominio de las frecuencias.
HANWEN ZHANG
doaj
Time to Frequency Domain Conversion for Transient Electromagnetic Data With Neural Networks
IEEE AccessTo further improve the efficiency and accuracy of time-to-frequency domain conversion (TFC) for transient electromagnetic (TEM) data, a UNet++ framework was established to learn and model the complex nonlinear functional relationship between time-domain (
Dajun Li, Yaoming Wang, Yuan Gao
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Global energy markets connectedness: evidence from time-frequency domain. [PDF]
Environ Sci Pollut Res Int, 2023 Rehman MU, Naeem MA, Ahmad N, Vo XV.
europepmc +1 more source
Time-frequency Domain Analysis of an Automobile Transmission
Jixie chuandong, 2017 As a whole,the automobile transmission producing vibration and noise is an inevitable result under the action of exciting force,the bearing,shaft and box has influence on the vibration and noise of the gearbox.
Ma Weijin +3 more
doaj
The Novel EfficientNet Architecture-Based System and Algorithm to Predict Complex Human Emotions
AlgorithmsFacial expressions are often considered the primary indicators of emotions. However, it is challenging to detect genuine emotions because they can be controlled. Many studies on emotion recognition have been conducted actively in recent years.
Mavlonbek Khomidov, Jong-Ha Lee
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Arrhythmia Disease Diagnosis Based on ECG Time-Frequency Domain Fusion and Convolutional Neural Network. [PDF]
IEEE J Transl Eng Health Med, 2023 Wang B +8 more
europepmc +1 more source
Fault Identification and Localization of a Time-Frequency Domain Joint Impedance Spectrum of Cables Based on Deep Belief Networks. [PDF]
Sensors (Basel), 2023 Wan Q, Li Y, Yuan R, Meng Q, Li X.
europepmc +1 more source
Bitcoin and S&P500: Co-movements of high-order moments in the time-frequency domain. [PDF]
PLoS One, 2022 Bouri E, Kristoufek L, Azoury N.
europepmc +1 more source